Distributed Agent Runtime
Provides a distributed runtime environment where each agent is an independent unit with state, memory, and a toolset. It handles lifecycle management, task scheduling, and inter-agent communication. The distributed design enhances scalability and fault tolerance, supporting multiple agents on a single machine or distributed across multiple devices in a local area network.
Parallel Workflow Coordination
Built-in powerful workflow coordination engine supports defining complex parallel workflows, specifying task dependencies, parallelism limits, timeout policies, etc., and automatically optimizes execution plans. For example, a data analysis workflow can parallelize data acquisition and multi-dimensional analysis while ensuring correct maintenance of dependencies.
Model Management and Inference Optimization
Integrates model management functions, supporting open-source large language models like LLaMA, Mistral, Qwen, etc., with features for downloading, version management, and quantization configuration. Optimization methods include:
- Quantized inference (INT8/INT4)
- Batch processing optimization
- KV cache management
- Hardware acceleration (CUDA, ROCm, Apple Silicon)
Tool Integration and Extension
Provides a rich set of built-in tools (file operations, network requests, database access, code execution, etc.) and supports plugin extensions. The tool system uses a secure sandbox design, with all calls logged for auditing to ensure host security.